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Christian Gerloff _/˅¯\__/\_ ̷ ˅¯\_ proslijedio/la je Tweet
Interested in how neuroscience can inspire better AI? Come to NAISys, March 24-28 Abstracts (1 page) due Jan 10 registration https://bit.ly/2rVHr8l
@SuryaGanguli@KordingLab@tyrell_turing@SussilloDavid@ylecun@SebastianSeung@chelseabfinn@Numenta {Please RETWEET ME}pic.twitter.com/MmThOqpD65
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Christian Gerloff _/˅¯\__/\_ ̷ ˅¯\_ proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Christian Gerloff _/˅¯\__/\_ ̷ ˅¯\_ proslijedio/la je Tweet
Check out our extensive review paper on normalizing flows! This paper is the product of years of thinking about flows: it contains everything we know about them, and many new insights. With
@eric_nalisnick,@DeepSpiker,@shakir_za,@balajiln. http://arxiv.org/abs/1912.02762 Thread
https://twitter.com/DeepSpiker/status/1202868429780336640 …
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Christian Gerloff _/˅¯\__/\_ ̷ ˅¯\_ proslijedio/la je Tweet
Our paper on best practices for establishing evidence for prediction is now available without loginhttps://twitter.com/russpoldrack/status/1199806468293197824 …
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Christian Gerloff _/˅¯\__/\_ ̷ ˅¯\_ proslijedio/la je Tweet
Much of what’s being sold as "AI" today is snake oil. It does not and cannot work. In a talk at MIT yesterday, I described why this happening, how we can recognize flawed AI claims, and push back. Here are my annotated slides: https://www.cs.princeton.edu/~arvindn/talks/MIT-STS-AI-snakeoil.pdf …pic.twitter.com/pmOTI3vq8p
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Christian Gerloff _/˅¯\__/\_ ̷ ˅¯\_ proslijedio/la je Tweet
Brain networks, dimensionality, and global signal averaging in resting-state fMRI: Hierarchical network structure results in low-dimensional spatiotemporal dynamics https://authors.elsevier.com/a/1ZyfP3lc~r74W8 …pic.twitter.com/woegIt3hFV
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Christian Gerloff _/˅¯\__/\_ ̷ ˅¯\_ proslijedio/la je Tweet
I wish my undergraduate students wanted to learn math and statistics instead of blasting carbon into the atmosphere to half-train a GAN before their free AWS credits run out.
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Christian Gerloff _/˅¯\__/\_ ̷ ˅¯\_ proslijedio/la je Tweet
Smoothing splines define regularized least square whose solutions are sums of kernel functions (special case of reproducing Hilbert space). Linear interpolation and cubic splines are special cases. https://en.wikipedia.org/wiki/Smoothing_spline …pic.twitter.com/yrmrY93cJ4
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Christian Gerloff _/˅¯\__/\_ ̷ ˅¯\_ proslijedio/la je Tweet
Deep Learning for Symbolic Mathematics https://openreview.net/pdf?id=S1eZYeHFDS …
#mathpic.twitter.com/5CxO0LR1Hn
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Christian Gerloff _/˅¯\__/\_ ̷ ˅¯\_ proslijedio/la je Tweet
Friendly reminder that if you want to use your figures again and don't want to hand copyright over to a journal: 1. Share the figure with a CC0 license before you submit, effectively releasing the figure into the public domain. 2. That's it, you can always use the figure now.
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Christian Gerloff _/˅¯\__/\_ ̷ ˅¯\_ proslijedio/la je Tweet
Our perspective on how machines can learn from brains is online (https://tinyurl.com/yycb5wau ). Short: Use the model bias of brains to get a better inductive bias for machine learning. With
@AToliasLab,@xaqlab,@MatthiasBethge,@viajake. Cover art by@xaqlab.pic.twitter.com/b37R5qHDAK
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Christian Gerloff _/˅¯\__/\_ ̷ ˅¯\_ proslijedio/la je Tweet
After 2.5 years, we finally shipped the book off for printing. The GitHub graphs do look a bit scary...
@ChengSoonOng@AnalogAldo You can download the PDF (and some jupyter notebooks) from here: https://mml-book.com pic.twitter.com/qfAd0pgyKj
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Christian Gerloff _/˅¯\__/\_ ̷ ˅¯\_ proslijedio/la je Tweet
We get a LOT of questions about how best to use Dask efficiently. We now curate lists of Best Practices here: https://docs.dask.org/en/latest/best-practices.html … There is one page for the entire project, and one page for each of Arrays, DataFrames, and Delayed.
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Christian Gerloff _/˅¯\__/\_ ̷ ˅¯\_ proslijedio/la je Tweet
I've made a cheat sheet and a bunch of applets to give you an intuitive feel for various reaction time distributions. You can choose datasets, fiddle with parameters, and see working code examples: http://lindeloev.net/shiny/rt/ 1/n
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Only going deep is perhaps sometimes not the most profound thought! Great work of our team member
@schulz_maa! Congrats!https://twitter.com/danilobzdok/status/1168813699160842240 …
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Christian Gerloff _/˅¯\__/\_ ̷ ˅¯\_ proslijedio/la je Tweet
One of the great pleasures of learning statistics is that you replace the nagging uncertainty about whether you are doing the right analysis with the nagging uncertainty about whether there is such a thing as the right analysis.
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Christian Gerloff _/˅¯\__/\_ ̷ ˅¯\_ proslijedio/la je Tweet
This is precisely why uncertainty quantification should be the rule and not the exception. Ever heard of probabilistic machine learning?
#probability#science#machinelearninghttps://www.bbc.co.uk/news/science-environment-47267081 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Christian Gerloff _/˅¯\__/\_ ̷ ˅¯\_ proslijedio/la je Tweet
Fixed slide deck: https://www.slideshare.net/GaelVaroquaux/machine-learning-on-non-curated-data-154905090 … I'm removing the previous one, that had errors, sorry for the broken links
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Christian Gerloff _/˅¯\__/\_ ̷ ˅¯\_ proslijedio/la je Tweet
#datascience fact: Common misconception: When adjusting for#confounding variables, the bias does not necessarily decrease with every new covariate of no interest incorporated into the analysis@KordingLab@bttyeo@mertroryHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Christian Gerloff _/˅¯\__/\_ ̷ ˅¯\_ proslijedio/la je Tweet
Nice review of changes in statistical culture in the Era of big data by
@danilobzdok,@ten_photos & Steve Smith - regularization & dimensionality-reduction - empirical validation through open data - focus on accuracy rather than interpretabilityhttps://www.nature.com/articles/s42256-019-0069-5 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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